An experiment to make ultra scalable and fast load testing tool for HTTP.

It's based on: ØMQ, python and gevent.

proof of concept

1. As user I shall be able to test real traffic on remote website
2. As user I shall be able to distribute traffic among huge cluster
3. As user I shall be able to easily use scenarios from tsung, preferably whole configurations
4. As user I shall be able to run test on clusters within minutes (simple deployment)

1. Clone git repo:

   $ git clone https://github.com/munhitsu/loadparrot.git

2. Create and enter virtual env. My favourite method is by using virtualenv wrapper. See: gist

3. Install all C dependencies. In case of osx homebrew seems to be a reliable package manager. :

   $ brew install libevent
   $ brew install zeromq

4. Install all python dependencies:

   $ cd loadparrot
   $ pip install -r requirements.txt
   $ add2virtualenv .

5. Repeat on all hosts that you want to run workers

1. Start workers pointing to kings ip:

   $ python loadparrot/worker.py --king (king_ip)

2. As a temporary hack edit scenario in loadparrot/scenario.py

3. Start the king:

   $ python loadparrot/king.py

Sphinx based. To build execute make within docs directory.

• unit tests
• real configuration instead of stubs
• read real metrics
• spawn http stats interface
• print charts (preferably in browser)
• update user events execution to be based on a Poisson Distribution or other :)
• optimize scenarios
  • client should pull all scenarios from server on start
  • we shall request execution of scenario with specific version
  • if client uses different scenario version than it shall pull a latest version
  • each execution of parent should generate unique version so we can run workers and restart king
  • flush queues (handbrake) so that king can restart and we don't need to restart workers
• fab + buildout/virtualenv for easy remote deploy and start
• rename king to... queen